Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Scientia Psychiatrica Scientific Journal of Pediatrics
Sarah Istiqomah
Department of Neurology, Kenanga Medical Center, Demak, Indonesia
Health Professions Immunology & microbiology Medicine & Pharmacology Neuroscience Nursing Public Health

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Predictive Value of Drug-Induced Sleep Endoscopy (DISE) in Pediatric Obstructive Sleep Apnea: A Multicenter Cohort Study in Indonesia Sarah Istiqomah; Annisa Annisa; Dessy Agustina; Abhimanyu Putra; Zainal Abidin Hasan; Johan Wirahadi Putro; Venny Melinda; Nabila Saraswati; Made Swastika
Scientific Journal of Pediatrics Vol. 3 No. 1 (2025): Scientific Journal of Pediatrics
Publisher : Phlox Institute: Indonesian Medical Research Organization

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59345/sjped.v2i2.174

Abstract

Introduction: Obstructive sleep apnea (OSA) is a significant pediatric health concern in Indonesia, but diagnostic and treatment pathways are often resource-constrained. Drug-induced sleep endoscopy (DISE) offers a dynamic assessment of upper airway obstruction, but its predictive value for treatment outcomes in Indonesian children remains unclear. This study aimed to evaluate the predictive value of DISE findings for polysomnography (PSG)-determined OSA severity and surgical outcomes in a multicenter cohort of Indonesian children. Methods: A prospective, multicenter cohort study was conducted at three tertiary hospitals in Indonesia. Children aged 2-18 years with suspected OSA underwent DISE and overnight PSG. DISE findings were classified using the VOTE (Velum, Oropharynx, Tongue base, Epiglottis) classification system. The primary outcome was the correlation between DISE findings and the apnea-hypopnea index (AHI) on PSG. Secondary outcomes included the prediction of surgical success (defined as a postoperative AHI < 5 and >50% reduction from baseline) after adenotonsillectomy (T&A). Statistical analyses included Spearman's rank correlation, receiver operating characteristic (ROC) curve analysis, and logistic regression. Results: 250 children (mean age 8.2 ± 3.5 years, 60% male) were included. A significant positive correlation was found between the total VOTE score and AHI (ρ = 0.62, p < 0.001). Tongue base obstruction (VOTE-T) showed the strongest correlation with AHI (ρ = 0.58, p < 0.001). The area under the ROC curve (AUC) for the total VOTE score predicting severe OSA (AHI ≥ 10) was 0.85 (95% CI, 0.79-0.91). In the subgroup of 180 children who underwent T&A, a higher total VOTE score (particularly VOTE-T and VOTE-E scores) was significantly associated with a lower likelihood of surgical success (OR 0.45, 95% CI 0.28-0.72, p = 0.001). Conclusion: DISE, using the VOTE classification, demonstrates good predictive value for OSA severity and surgical outcomes in Indonesian children. Tongue base and epiglottic obstruction are particularly important predictors. DISE can be a valuable tool for guiding treatment decisions in resource-limited settings.
Explainable Temporal Reconciliation for Psychiatric Risk Phenotyping in Synthetic Longitudinal Clinical Notes Dessy Agustina; Sarah Istiqomah
Scientia Psychiatrica Vol. 7 No. 4 (2026): Scientia Psychiatrica
Publisher : HM Publisher in collaboration with CMHC Research Center

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Background. Psychiatric risk changes during hospitalization. Document-level natural language processing can retain historical high-risk language after the current clinical state has changed. Objective. To evaluate an explainable approach that reconciles chronology, source authority, negation, and transition barriers across longitudinal records against a maximum-risk baseline. Methods. This retrospective study used all 180 synthetic inpatient psychiatric chart packets of ClinAuthBench v1. A deterministic pipeline gave priority to the most recent suicide-risk screens, psychiatric progress notes, and social-work transition-barrier notes. The baseline was a maximum-risk-across-record strategy. The primary endpoint was current risk (low versus elevated/uncertain). Secondary endpoints were three-class risk, diagnosis, psychosis, substance use, transition barriers, and lower-level-of-care readiness. We used accuracy, Wilson 95% confidence intervals (CIs), macro-F1, Cohen's κ, paired bootstrap differences, and exact McNemar testing. Results. Gold current risk comprised 72 low, 82 moderate, and 26 high cases. Temporal reconciliation classified 180/180 cases correctly on the binary endpoint, versus 108/180 for the baseline (difference 40.0 percentage points; bootstrap 95% CI 32.8–47.2; exact McNemar p < 0.001). Three-class accuracy was 88.9% (160/180; 95% CI 83.5–92.7), macro-F1 was 0.852, and κ was 0.824, with all errors at the moderate–high boundary. Five structured phenotype endpoints reached 100% accuracy. Conclusion. In this synthetic benchmark, temporal and source-aware reconciliation kept historical high-risk language from dominating current-risk classification. The results show construct-aligned technical validity. They do not show clinical deployment validity, and external validation on real notes with clinician adjudication is required. For every packet the explainable trace retained source, time, screen status, barrier status, and context.
Co-Authors Abhimanyu Putra Annisa Annisa Dessy Agustina Johan Wirahadi Putro Made Swastika Nabila Saraswati Venny Melinda Zainal Abidin Hasan